2020 IEEE Tenth International Model-Driven Requirements Engineering (MoDRE) 2020
DOI: 10.1109/modre51215.2020.00008
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An Optimization Modeling Method for Adaptive Systems Based on Goal and Feature Models

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Cited by 3 publications
(8 citation statements)
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“…However, the new solutions could be unsuitable for the current problem and consequently lead to non-guaranteed adaptation timeliness, as shown in Table 13. On the contrary, Anda and Amyot [73,74] have used a goal reasoning method (without constraints or conditions on its choices) to generate on the fly the best solutions when unforeseen circumstances are encountered at runtime. Since the used mathematical functions include the impact of the current environmental condition on all elements of the goal models and are restricted by the mathematical function of feature models, the created solutions are feasible and the best (the functionality and quality of the system satisfy its stakeholders' objectives) for the current environmental condition.…”
Section: Assessment Resultsmentioning
confidence: 99%
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“…However, the new solutions could be unsuitable for the current problem and consequently lead to non-guaranteed adaptation timeliness, as shown in Table 13. On the contrary, Anda and Amyot [73,74] have used a goal reasoning method (without constraints or conditions on its choices) to generate on the fly the best solutions when unforeseen circumstances are encountered at runtime. Since the used mathematical functions include the impact of the current environmental condition on all elements of the goal models and are restricted by the mathematical function of feature models, the created solutions are feasible and the best (the functionality and quality of the system satisfy its stakeholders' objectives) for the current environmental condition.…”
Section: Assessment Resultsmentioning
confidence: 99%
“…This language was used to keep tracking and using the goal model from requirements elicitation to the implementation phase. Anda and Amyot [31,73,74] generate arithmetic functions in common languages (including C, Java, and Python) from GRL and feature models, which enable analysis and implementation to be done with a wide range of development tools.…”
Section: Assessment Resultsmentioning
confidence: 99%
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